Instructions to use Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit with MLX:

# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm

from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config

# Load the model
model, processor = load("Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit")
config = load_config("Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit")

# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."

# Apply chat template
formatted_prompt = apply_chat_template(
    processor, config, prompt, num_images=1
)

# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-6Bit" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

SolsticeAI commited on 5 days ago

Commit

6f00192

verified ·

1 Parent(s): 461b3b3

docs: explicitly specify Mac mini M5 Pro (64GB) in performance table

Browse files

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README.md +2 -2

README.md CHANGED Viewed

@@ -183,9 +183,9 @@ With **MTP / DSpark Speculative Drafting** enabled, average acceptance length ($
 | :--- | :---: | :---: | :---: | :---: | :--- |
 | **Apple Mac Studio (M2/M3/M4 Ultra)** | 800–1200 GB/s | 36–48 tok/s | **72–95 tok/s** | ~140–180 tok/s | Full 262K Context Supported |
 | **Apple MacBook Pro / Studio (M3/M4/M5 Max)** | 400–614 GB/s | 18–24.4 tok/s | **42–52 tok/s** | ~75–95 tok/s | Full 262K Context Supported |
-| **Apple MacBook Pro (M5 Pro @ 307 GB/s)** | 307 GB/s | 10.5–12.2 tok/s | **22–26 tok/s** | ~45–60 tok/s | Up to 128K Context Supported |
 | **Apple MacBook Pro (M3/M4 Pro)** | 150–200 GB/s | 8–11 tok/s | **16–20 tok/s** | ~35–50 tok/s | Up to 128K Context Supported |
-| **Apple MacBook Pro (32GB Unified Memory)** | ~150 GB/s | 8–10 tok/s | **15–18 tok/s** | ~30–45 tok/s | Up to 64K Context Supported |
 > [!TIP]
 > **Need even higher speeds on M5 Pro / 16GB–36GB Macs?**

 | :--- | :---: | :---: | :---: | :---: | :--- |
 | **Apple Mac Studio (M2/M3/M4 Ultra)** | 800–1200 GB/s | 36–48 tok/s | **72–95 tok/s** | ~140–180 tok/s | Full 262K Context Supported |
 | **Apple MacBook Pro / Studio (M3/M4/M5 Max)** | 400–614 GB/s | 18–24.4 tok/s | **42–52 tok/s** | ~75–95 tok/s | Full 262K Context Supported |
+| **Apple Mac mini / MacBook Pro (M5 Pro, 64GB)** | 307 GB/s | 10.5–12.2 tok/s | **22–26 tok/s** | ~45–60 tok/s | Full 128K–262K Context Supported (64GB) |
 | **Apple MacBook Pro (M3/M4 Pro)** | 150–200 GB/s | 8–11 tok/s | **16–20 tok/s** | ~35–50 tok/s | Up to 128K Context Supported |
+| **Apple Mac / MacBook (32GB Unified Memory)** | ~150 GB/s | 8–10 tok/s | **15–18 tok/s** | ~30–45 tok/s | Up to 64K Context Supported |
 > [!TIP]
 > **Need even higher speeds on M5 Pro / 16GB–36GB Macs?**